Sriadi, Yosua Natanael
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Investigation of Covid-19 transmission at a digital service company, Sleman Distric, 2020 - a case report study Sriadi, Yosua Natanael
BKM Public Health and Community Medicine PHS7 Accepted Abstracts
Publisher : Universitas Gadjah Mada

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Abstract

Objective: On 08 October 2020 the Sleman District Health Office received a report from a hospital of positive PCR results from 19 employees from “X” company. Epidemiological investigations were conducted to see the magnitude of the problem, the risk factors that affected it and to give recommendations for future prevention. Method: This study is a descriptive epidemiological study. The case are employees who tested positive Covid-19 used RT-PCR test. Data collection was carried out by interviewed employees and reviewed relevant documents. Epidemiological investigations were carried out to learn the history of close contact with the suspect, symptoms and other risk factors. Direct observations were conducted to see the conditions and situations of the employee's workplace. Results: The first case was found to have come to work in a sick condition before finally tested positive on September 30, 2020. A total of 109 out of 1138 employees tested positive from September 28 to November 30, 2020 (AR = 9.31%). The cases were predominantly female (74.5%), most of the cases are asymptomatic (78.3%), Others experienced fever (8.5%) and cough (8.5%). The largest age groups were 20-24 years (48.1%) and 25-30 years (43.4%). Direct observation found that a small indoor poor ventilation room had at 118 people worked in the same shift. The interview with company showed that they could not ensure that their employees could practice health protocol properly, even they had made regulation about mask wearing and provided hand sanitizer. Conclusions: There was a Covid-19 cluster transmission at “X” company. The cramped working space and the high volume of workers were likely to be the risk factors for Covid-19 transmission. We suggested reducing the number of employees working together in a room by adding more working shift.
Spatial analysis and risk factors associated with COVID-19 incidence modeling in Sleman Regency Sriadi, Yosua Natanael; Lazuardi, M Lutfan
BKM Public Health and Community Medicine Vol 38 No 06 (2022)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v38i06.19987

Abstract

Purpose: This research aims to identify spatial distribution and risk factors related to the occurrence of COVID-19 in Sleman Regency. Methods: This study used the geographical information system (GIS) software to map the spatial distribution of COVID-19 cases. Pearson correlation and linear regression examined the relationship between the selected variables and COVID-19 incidence. The spatial autocorrelation of the COVID-19 cases was carried out using Moran's I and LISA. Geographically weighted regression (GWR) and multiscale GWR (MGWR) were used to examine the local level. Results: Multivariate analysis results showed that shopping facilities (coeff. =10.02; p-value <0.001) and population density (coeff. =0.0004; p-value <0.001). The spatial autocorrelation test showed a positive and significant spatial autocorrelation between the presence of public facilities (Moran's I=0.600) and population density (Moran's I=0.495) with the incidence of COVID-19 in Sleman Regency. The MGWR model has been proven to be the most appropriate in describing the incidence of COVID-19 in the Sleman Regency (adj R 2 =0.643; AIC c =177.14). Conclusion: The spatial approach has been used to prevent the spread of COVID-19. For example, micro-based social restriction monitoring efforts and COVID-19 vaccination campaigns can focus more on areas with more shopping facilities and densely populated areas.